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Exact(10)
This means that model comparison will disambiguate models more easily the more precise the experimental data.
The simplicity of process representations, and the limited number of processes implemented, means that model outputs can be interpreted reasonably easily.
Efficient means that model generation is possible for data with more variables than objects, for data with highly correlating variables, and that the complexity of the model is optimized for best prediction performance (not necessarily for best fit).
This means that model developers have to validate and evaluate their models' performance with regards to the effect of water stress on rice growth under a variety of environmental changes.
For model applications, this means that model simulations should be performed using not only parameter values but also their correlation matrix by means of non-linear error propagation methods such as Monte Carlo techniques.
This means that model performances may decrease when applied to other datasets.
Similar(50)
This means that modeling of exon evolution needs a combined approach, utilizing both outgroup and ingroup techniques.
This means that initial model dependency is not so strong as long as we give sufficient space for variables.
Honda, Hyundai and General Motors are pledged to both Google and Apple, which means that models compatible with Android and the iPhone are likely from all three manufacturers, but not necessarily in the same car.
This means that models that incorporate restoring historical conditions are largely untested in the bulk of the agricultural literature.
If the finding is correct, it means that models of the Milky Way's evolution "are significantly incomplete," says astronomer Roelof de Jong of the Space Telescope Science Institute in Baltimore, Maryland.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com